Since I’ve never talked about this topic, I mention this post because I consider it very interesting, you can read the source post by NAV Team to replicate the example. The example illustrated by Microsoft opens a series of future scenarios related to the integration between NAV and Azure Machine Learning features.

–Open Workbench, the studio lets you create experiments and then publish them as a web service.

..AND NOW …YOU CAN DO “EXPERIMENTS”….

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ABOUT THE EXAMPLE: “FORECASTING MODEL FOR DYNAMICS 365 FOR FINANCIALS”

NAV 2017 Cash & Inventory Forecasts

“Dynamics NAV 2017 already introduced the Time Series functionality to use Azure ML to make cash– and inventory forecasts. Here is how you can enable it for Inventory forecast in less than 10 steps.”

The following steps are based on the demonstration data for Dynamics NAV 2018:

This post is a summary of what was new already in “Dynamics NAV 2017: Using “Microsoft Azure Machine Learning Studio” to create (load) and then publish a model which we will call from Dynamics NAV to make inventory or cash forecasts.”

This is the model which is already available

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FOLLOW THE NAV TEAM POST TO TEST INTEGRATION BETWEEN NAV AND AZURE MACHINE LEARNJING!